Downloads · 30 days
15
1% of all-time downloads
babylm-base2f5m-gpt2
alexandertam/babylm-base2f5m-gpt2
babylm-base2f5m-gpt2 is a text generation model from alexandertam. Use it when you need the model to write or continue text. It is set up for transformers.
should probably proofread and complete it, then remove this comment. --
All-time downloads
1.9K
Public
Parameters
98.4M
21.3 GB on disk
Likes
0
Public
Repo makeup
Click a slice to open those files.
.safetensors394 MB · 100%
At a glance
- Task
- Text Generation
- Library
- transformers
- Model type
- gpt2
- Access
- Public
- Created
- Aug 20, 2025
- Updated
- Aug 20, 2025
- SHA
- 8d4b0248
Try a prompt
Model card
From the Hugging Face model README
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
babylm-base2.5m-gpt2
This model is a fine-tuned version of on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 3.3906
- Accuracy: 0.4129
Model description
More information needed
Intended uses & limitations
More information needed
Training and evaluation data
More information needed
Training procedure
Training hyperparameters
The following hyperparameters were used during training:
- learning_rate: 5e-05
- train_batch_size: 16
- eval_batch_size: 16
- seed: 42
- optimizer: Use OptimizerNames.ADAMW_TORCH with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 195
- training_steps: 19500
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|---|---|---|---|---|
| 5.8389 | 0.1065 | 200 | 4.8806 | 0.3144 |
| 4.8812 | 0.2130 | 400 | 4.4667 | 0.3240 |
| 4.707 | 0.3195 | 600 | 4.2884 | 0.3341 |
| 4.479 | 0.4260 | 800 | 4.2022 | 0.3348 |
| 4.2839 | 0.5325 | 1000 | 4.1496 | 0.3363 |
| 4.1679 | 0.6390 | 1200 | 4.1096 | 0.3369 |
| 4.125 | 0.7455 | 1400 | 4.0623 | 0.3393 |
| 3.9613 | 0.8520 | 1600 | 4.0172 | 0.3394 |
| 3.9268 | 0.9585 | 1800 | 4.0097 | 0.3367 |
| 3.8225 | 1.0650 | 2000 | 3.9714 | 0.3417 |
| 2.6933 | 2.1299 | 4000 | 3.6543 | 0.3824 |
| 2.3328 | 3.1949 | 6000 | 3.5196 | 0.3985 |
| 2.1778 | 4.2599 | 8000 | 3.4668 | 0.4016 |
| 2.0886 | 5.3248 | 10000 | 3.4159 | 0.4073 |
| 1.9842 | 6.3898 | 12000 | 3.3836 | 0.4104 |
| 1.9168 | 7.4547 | 14000 | 3.3775 | 0.4112 |
| 1.8811 | 8.5197 | 16000 | 3.3978 | 0.4121 |
| 1.8392 | 9.5847 | 18000 | 3.3874 | 0.4125 |
Framework versions
- Transformers 4.50.3
- Pytorch 2.7.1+cu126
- Datasets 3.6.0
- Tokenizers 0.21.4
- Task
- Text Generation
- Library
- transformers
- Type
- gpt2
- Created
- Aug 20, 2025
- Updated
- Aug 20, 2025